NEA’s AI in Education micro-credential stack is a set of 12 competency-based micro-credentials that help educators build practical, classroom-ready AI literacy. Educators earn each one by submitting evidence from their own practice, such as lesson plans, student work samples, and reflections, which is evaluated against a rubric. The stack covers four areas: foundations of AI literacy; prompting, iteration, and creativity; bias, truth, and information; and ethics and responsibility. A one-page guide describing all 12 micro-credentials is included.
Source: National Education Association
